Data Science - TS/SCI w POLY

 TS/SCI with POLY REQUIRED

Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements.

Work Requirements

Data Science

• The Contractor shall work closely with other teams; however, the Sponsor project manager will manage the priorities.


• The
  Contractor
  shall
  integrate
  with
  Sponsor
  team
  to
  develop
  an
  understanding
  of
  Sponsor
  data structures.


• The Contractor shall build out schema and data models, as required by the Sponsor.


• The
  Contractor
  shall
  complete
  the
  Sponsor’s
  systems
  administrator
  security
  course
  (approx.
  8
  hours
  of training).


• The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.


• The
  Contractor
  shall
  provide
  briefings,
  to
  include
  presentation
  slides
  and
  user
  guide
  documentation,
  as required by the Sponsor.

Data Science

• The
  Contractor
  shall
  expand
  the
  Sponsor’s
  Artificial
  Intelligence
  and
  Machine
  Learning
  (AI/ML) architecture and develop an analytics user interface (UI).


• The Contractor shall bridge research output to operational teams by packing models as reliable service.


• The Contractor shall create operator-focused dashboards.


• The
  Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach.


• The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.


• The
  Contractor
  shall
  provide
  briefings,
  to
  include
  presentation
  slides
  and
  user
  guide
  documentation,
  as required by the Sponsor.

Required Skills and Demonstrated Experience

The Contractor shall have the following required skills, certifications, and demonstrated experience:

• 
  
  
  
  • 
    Data Science #1
  
  
  
  

• Demonstrated experience with proficiency in Python.

• 
  Demonstrated experience with data analytics and transformations.


• 
  Demonstrated experience with complex graph database queries.


• 
  Demonstrated experience in cloud compute environments.


• 
  Demonstrated
  ability
  to
  effectively
  communicate
  (verbal
  and
  written)
  with
  technical
  and non-technical personnel as well as all levels of management and staff.


• 
  Data Science #2


• 
  Demonstrated experience in cloud compute environments.


• 
  Demonstrated experience in containerization concepts.


• 
  Demonstrated experience in Machine Learning Operations (MLOps).


• 
  Demonstrated expertise in software engineering, cloud architecture and UI design.


• 
  Demonstrated experience supporting big data environments.


• 
  Demonstrated
  ability
  to
  effectively
  communicate
  (verbal
  and
  written)
  with
  technical
  and non-technical personnel as well as all levels of management and staff.

Highly Desired Skills and Demonstrated Experience

Skills and demonstrated experiences that are highly desired but not required to perform the work include:

• 
  
  
  
  • 
    Data Science #1
  
  
  • 
    Demonstrated experience with proficiency in SQL
  
  
  • 
    Demonstrated experience with Cypher
  
  
  • 
    Demonstrated experience with Amazon Web Service (AWS), (Lambda)
  
  
  • 
    Demonstrated experience with Docker
  
  
  • 
    Data Science #2
  
  
  • 
    Demonstrated experience with proficiency in Python and SQL
  
  
  • 
    Demonstrated experience with Docker
  
  
  • 
    Demonstrated experience with Flask, Gradio, or Streamlit
    
  
  
  
  

 TS/SCI with POLY REQUIRED